Title :
Orthogonal, exactly periodic subspace decomposition
Author :
Muresan, D. Darian ; Parks, Thomas W.
Author_Institution :
Digital Multi-Media Design, Arlington, VA, USA
Abstract :
The detection and estimation of machine vibration multiperiodic signals of unknown periods in white Gaussian noise is investigated. New estimates for the subsignals (signals making up the received signal) and their periods are derived using an orthogonal subspace decomposition approach. The concept of exactly periodic signals is introduced. This in turn simplifies and enhances the understanding of periodic signals.
Keywords :
Gaussian noise; acoustic signal detection; parameter estimation; vibration measurement; white noise; General Motors gear box; exactly periodic signals; exactly periodic subspace decomposition; machine vibration multiperiodic signals; multiperiodic signal detection; multiperiodic signal estimation; orthogonal subspace decomposition; received signal; signal processing; subsignals; synthetic signals; vibration data signals; white Gaussian noise; Filters; Gaussian noise; Helium; Interference; Matrices; Rhythm; Signal analysis; Signal processing; Signal processing algorithms; Signal resolution;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2003.815381